Consider the following multiple regression 512% = 118.1 + 0.555301? + 23.4Bath + 0.129Hsize + 0.002Lsize + 0.068Age 49.9Poor, 722 = 0.71, SER = 40.3 (22.9) (2.02) (8.61) (0.016) (0.00044) (0.349) (10.1) The numbers in parentheses below each estimated coefficient are the estimated standard errors. Adetailed description of the variables used in the data set is available here 0 . Variable Definitions Variable Definition BDR Number of bedrooms. Bath Number of bathrooms. Hsize Size of the house in square feet. Lsize Size of the lot in square feet Age Age of the house in years. Poor Binary variable (1 if the condition of the house is reported as "pA homeowner purchases 1594 square feet from and adjacent lot. Construct a 95% confidence interval for the change in the value of her house. The 95% condence interval for the change in the value of the home is [D, D] (Round your response to two decimal places)